Artificial Intelligence (AI) is a boon for machines. It makes it practicable for machines to gain knowledge from experiences, modifying new inputs and carry out human-like activities.
Common examples of artificial intelligence we hear today are self-driving cars, chess-playing systems etc. They densely depend on language processing and deep learning. With the usage of these technologies, systems can achieve particular tasks by processing huge amount of data.
Artificial intelligence focuses on three important dexterity:
Inference, learning and self-improvement.
Inference process: This facet of artificial intelligence programming focuses on picking up the appropriate algo to get good results.
Learning process: This facet of artificial intelligence programming focuses on obtaining information and fabricating rules. So that we can turn the raw data into operational information.
Algorithms provide computing devices with sequence wise instructions for how to finish a particular task.
Self-improvement process: This facet of artificial intelligence programming helps to make adjustments in algorithms so that they provide more clear results.
History of Artificial Intelligence
The name artificial intelligence was founded in 1956. Currently, AI becomes more popular due to escalation in data volumes, up to date algorithms and reclamation in computing storage and power.
At the beginning of 1950s when they were investigating on AI, they explored the topics like problem-solving and symbolic techniques. After this, the defence department of the United States made his interest in AI and starts providing training to computer systems to behave like human beings. For example, DARPA (Defense Advanced Research Projects Agency) finished projects on streets mapping and developed smart personal assistants in 2003.
This type of work opened the path for the automation and formal thoughts that we see in systems today. It includes decision support systems that that can be constructed to bring perfection and human capability.
While technological movies and imaginary science novels illustrate artificial intelligence robots which perform tasks like human beings take over the universe. But the technology industry isn’t so spooky rather it has provided many benefits to every industry.
Understanding Actual Artificial Intelligence
Whenever we hear artificial intelligence, the first word come in our mind is robots. We start associating AI with robots. This is because Hollywood movies and science fiction novels write stories that create devastation on earth. But this is far away from the truth.
Artificial intelligence is based on the fundamentals that machines can also work like humans. Machines can imitate and perform tasks. They can do simple as well as a complex task. The objective of artificial intelligence comprises of learning, inference and cognition.
As technology updates, previous standards which defines artificial intelligence becomes obsolete. For example, a machine that computes normal functions or identifies text through optical character recognition is not called as artificial intelligence. Now we call these functions as an important computer function, not AI.
AI is continually expanding and providing benefits to many different industries. For example, wiring machines by using a cross-disciplinary approach, linguistics, computer science and psychology etc.
Advantages and Disadvantages of AI
Deep learning AI and unnatural neural networks are quickly emerging because AI processes a massive amount of data. Its processing speed is very fast and makes prophecy precisely than humanly possible.
As a huge amount of data generates daily, it becomes quite difficult for a human to research that data. An artificial intelligence application which uses machine learning takes the data and converts it into useful information. The demerit of using AI is that it is too costly to process huge amounts of data that it requires.
Types of Artificial Intelligence
There are four types of AI:
- Mind theory
- Finite memory
- Reactive Machine
These types of AI systems have a self sensation which gives them awareness. Machines with self-alertness can understand its condition. But the saddest thing is that it does not yet exist.
This is a psychological word. In this category, AI systems have social wit to understand emotions. This type of AI will help the machines to guess human motives and predict the behaviour. AI machines need to become a part of the human group.
These types of AI systems have a memory so that they can use historical experiences to notify future decisions.
Example of decision-making function is self-driving cars.
These types of AI systems are job peculiar and have no memory.
How does Artificial intelligence Work?
AI uses machine learning to imitate human acumen. The AI systems have to learn how to react to particular actions. It uses algorithms and past data to create proclivity model.
These types of models will make predictions. For example- scoring leads etc.
AI can do much more than this. But these are general uses and functionality for marketing. As machines are evolving it may be possible that machines will take over humans. But still, humans are needed to do more work.
Currently, we are using AI to save our precious time. For example, in the office, we can add employees to email automation. We want AI to do more work so that people can focus on some other important work.
How marketers use Artificial Intelligence?
For example- Search results are laid down by AI decides what the best business for researcher’s needs is. So when anybody searches for burgers, AI has to find out whether that person wants to know more about burgers or if he/she needs to find a burger palace and if it thinks they want a burger palace, it has to find out which burger palace is the better answer for search.
We create an advertisement for the clients which further demonstrates to local consumers. AI helps in determining the right public for the advertisement.
But still, we have to do many activities like setting up campaigns, optimize listings etc. It may be changing in future but currently, marketing is a very dynamic industry. We have to check out time to time what’s going new in this industry like new marketing campaigns, strategies etc. We need someone to check out the latest trends and changes in AI also.
Applications of Artificial Intelligence
The security vendors in the world use machine learning and AI so that they can distinguish their services. These two names represent feasible technologies. Cybersecurity products are upgrading itself by adding AI and machine learning which further helps virus protection team looking for ways to find out ransomware, attacks and malware etc.
Companies using machine learning in SIEM software and respective areas to find out inconsistencies and detect dubious activities which indicate menace. By scrutinizing data and applying logics helps in identifying venomous code. Through this way, AI can warn by informing about new attacks much faster than humans and all the previous technologies.
After getting a notification about new attacks, companies can easily combat cyber attackers to protect their confidential data.
The elemental role of AI is to control the functioning the autonomous vehicles. AI is also helpful in handling traffic, forecast delay of flights and makes shipping intact.
Nowadays, banks are hiring chat robots in their chat and support department. These robots chat with the customers and inform about new services, sort out their problems and manage their transactions without any human interference.
AI Virtual assistant improves and cuts the cost of adherence with banking principles. Banks also uses AI to reform their opinions for loans, restrict credit limits and finding investment opportunities.
Manufacturing or Producing
Producing has been at the leading edge of integrating robots into the series of activities which are necessary to complete a task. For example, doing one-time programming in industrial robots enables them to perform a single task. Whereas multitasking robots co-operate with humans and do work in factories, godowns, chemical industries etc.
AI can automate the juridical industry labour thorough processes. This consequently saves time and reforms client services. Law organisations use machine learning to express data and predict results. It also uses to separate and obtain useful information from documents and languages processing to clarify requests for knowledge.
Applications like Intuit Mint or Turbo tax gather private data and provide monetary advice. Today, most of the AI software carries out trading on wall streets.
AI can give more time to teachers by enabling automatic grading system. It helps to judge the student more efficiently and allows the teachers to take the necessary steps when it requires. Artificial intelligence teachers can provide support to students and ensure they follow the correct path.
ML algos consolidates into analytics and Customer Relation Management platforms to reveal the information on how to better handle the consumers. Chat robots have been integrated into sites to provide instant response to consumers.
The most prominent thing is to reform patient consequences and also reduces cost. Healthcare organisations use Machine Learning to diagnose the patient much quicker and superior to humans. The well-known technology of healthcare is IBM Watson. It knows the natural language and gives answers to the question. There are many other AI applications which use chat robots as well as virtual healthcare assistants which help the patients to find information about medicines, books the appointments and find billing information etc.
Instances of AI
Vehicles having automation facility uses a combo of machine learning techniques, photo recognition and system vision. With all these, they can make computerized skill at piloting vehicles while staying in a particular lane.
This area emphasis on designing and formulation of robots. These robots execute the tasks which may be challenging for humans to perform or execute steadily. For example, organisations use robots in the manufacturing of cars. Investigators use machine learning to make robots which can cooperate with a social setting.
Natural language processing
In this, the computer program processes the language of the human. The common example of natural language processing is spam identification. For example, in the case of email, it looks at the subject line and text and decides whether it is junk or not. Currently, NLP techniques are based on machine learning. Language processing projects include text conversion, emotions and thought analysis and voice recognition.
AI provides many benefits to the machine and this time it is providing the vision to the machine. Computer’s vision can scrutinize and captures optical information through the camera and digital signal processing etc. We can compare it with human eyesight but the reality is it can do more which humans cannot. They can see through walls by doing programming on them. For example, they can help to identify signature and can analyze the medical image.
Strong AI and Weak AI
Artificial intelligence consists of two classes: Strong AI and Weak AI
Weak AI or infirm AI is a machine wit which is bounded by a particular or narrow area. Weak Artificial intelligence imitates human perception and benefits humanity by computerizing time taking tasks and scrutinizes data. These AI machines can do only a single job. For example, these machines consist of video games such as chess and some devices like Amazon’s Alexa and Apple’s Siri.
Strong AI is equivalent to human intelligence. Some features of strong AI consists of the ability to solve quiz and riddles, make decisions, learn, understand and communicate etc. It also comprises of awareness, objective ideas, rationality and wisdom. These AI can perform human-like tasks. These tend to be more complex and intricate machines. They can sort out even critical problems without the help of humans. These types of machines found in applications like self-driving cars etc.